Article
Materials Science, Multidisciplinary
Zhiqin Yang, Jianxing Bao, Chaogang Ding, Sujung Son, Zhiliang Ning, Jie Xu, Debin Shan, Bin Guo, Hyoung Seop Kim
Summary: Electrically assisted deformation (EAD) is used to improve the formability and prevent cracking in the processing of Al0.6CoCrFeNiMn high entropy alloy (HEA) at room temperature. The study systematically investigates the electroplasticity of the HEA through electrically assisted uniaxial tension. Results show that pulse current increases sample temperature and enhances flow stress and elongation. This study confirms that EAD effectively improves the formability of HEAs and provides guidance for their component forming.
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
(2023)
Article
Materials Science, Multidisciplinary
Xingyu Feng, Qi Wang, Jiayu Xie, Wenjun Kuang
Summary: The intergranular degradation of Alloy 600 was studied in simulated pressurized water reactor primary water for seven different types of high-angle grain boundaries. All boundaries exhibited susceptibility to preferential intergranular oxidation (PIO), except for the ideal coherent twin boundary. Diffusion induced grain boundary migration (DIGM) typically occurred, and its depth was positively correlated with the extent of PIO. Interestingly, the PIO susceptibility was independent of the grain boundary misorientation angle or σ value, but related to the grain boundary atom packing density (GBAPD), where higher GBAPD values correlated with higher PIO resistance due to slower element diffusion.
Article
Engineering, Manufacturing
Tyler J. Grimm, Laine Mears
Summary: Electrically-assisted manufacturing (EAM) utilizes direct application of electric current to reduce flow stress during forming of metallic workpieces. This control method, tested using tensile testing, successfully manipulates metal forming within desired stress levels, showing potential for industrial applications.
JOURNAL OF MANUFACTURING PROCESSES
(2021)
Article
Engineering, Manufacturing
Zhutian Xu, Tianhao Jiang, Jihui Huang, Linfa Peng, Xinmin Lai, M. W. Fu
Summary: In this study, the effects of electrically-assisted forming on different materials were investigated. The results showed that electroplasticity plays a role in reducing flow stress, but its influence varies depending on the material and other factors.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
(2022)
Article
Engineering, Industrial
Hongrui Dong, Xiaoqiang Li, Yong Li, Haibo Wang, Xingyi Peng, Saijun Zhang, Bao Meng, Yanfeng Yang, Dongsheng Li, Tudor Balan
Summary: This study investigates the effects of electric current on material flow behavior and develops corresponding constitutive models through electrically-assisted tension-compression cyclic loading tests. The results show that electric current reduces the flow stress, promotes precipitate growth, and decreases dislocation. Additionally, the elastic modulus decreases with increasing plastic strain, temperature, and current density, while the Bauschinger effect and permanent softening effect weaken. The asymmetric tension-compression behavior becomes more pronounced with increasing temperature and current density. This research provides a research basis for the application of electrically-assisted forming.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2022)
Article
Materials Science, Multidisciplinary
Chengyang Hu, Chengjie He, Xiaolong Gan, Xiangliang Wan, Feng Hu, Wen Zhou, Honghong Wang, Kaiming Wu
Summary: The influence of grain orientation and grain boundary on the deformation behavior of high-Mn steel was investigated through tensile tests, revealing significant effects of the grain boundary on the material properties.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Automation & Control Systems
Z. Lv, Y. Zhou, L. Zhan, Z. Zang, B. Zhou, S. Qin
Summary: The electric-assisted deep-drawn tests showed that introducing pulse current can improve the forming performance and deep-drawing deformation ability of high-strength steel without altering its microstructure, ultimately enhancing the mechanical properties of the workpiece.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Review
Automation & Control Systems
Hong-Rui Dong, Xiao-Qiang Li, Yong Li, Yi-Han Wang, Hai-Bo Wang, Xing-Yi Peng, Dong-Sheng Li
Summary: This paper provides a comprehensive review of the effects of electric current on the heat treatment and forming of aluminum alloy, and proposes some perspectives in the development trends of electrically assisted processes.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Nanoscience & Nanotechnology
Fei Yin, Shengtu Ma, Shan Hu, Yanxiong Liu, Lin Hua, Gary J. Cheng
Summary: This study explores the application of electrically assisted plastic deformation (EAPD) process in TC11 titanium alloy to enhance its formability. The mechanical behavior and microstructure evolution of TC11 titanium alloy under different current densities and strain rates were systematically investigated. It was found that pulse current can improve the formability/plasticity of TC11 titanium alloy and reduce energy consumption during manufacturing.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2023)
Article
Nanoscience & Nanotechnology
J. -E. Brandenburg, J. Seo, K. Eto, D. A. Molodov, S. Tsurekawa
Summary: The study used nanoindentation to investigate the local mechanical properties near 1010 tilt grain boundaries in magnesium bicrystals with different misorientation angles. It was found that critical shear-stress for the second pop-in differed substantially for grain boundaries with different structures, indicating important mechanical property variations in these boundaries.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2021)
Article
Physics, Multidisciplinary
Li Yu, Zheng Qiu-Yang, Zhou Zhen-Yu, Ding Cong, Ye Sen-Bin, Piao Zhong-Yu
Summary: This study simulated the scratching process of copper material during electrically-assisted machining using the MD method, and analyzed the effects on surface morphology, potential energy change, stress distribution, and crystal defect structure evolution. The results showed that electric current effectively expands the plastic deformation zone and enhances the plastic deformation ability of single-crystal copper. Electric current also improves the interaction between dislocations and grain boundaries, promoting the crossing of dislocations. This research provides guidance for optimizing surface strengthening techniques to achieve better surface properties of metals.
Article
Engineering, Mechanical
Jia Gao, Hongwei Li, Xinxin Sun, Xin Zhang, Mei Zhan
Summary: This study developed an electro-thermal-mechanical crystal plasticity model to investigate the multiscale deformation mechanism of materials during electrically assisted formation. The model considered the effects of Joule heating and nonthermal effects, as well as the influence of current density threshold on dislocation density and slip resistance. The model provides a quantitative method to analyze the electrically assisted formation process.
INTERNATIONAL JOURNAL OF PLASTICITY
(2022)
Article
Materials Science, Multidisciplinary
Xunhu Xu, Qingxin Kang, Guofeng Wang, Yongkang Liu, Zhenlun Li, Tongxu Zhou
Summary: In this study, electrically-assisted diffusion bonding (EADB) of a TiBw/TA15 composite with a novel network architecture was investigated. The results showed that the interface bonding ratio and shear strength of the EADB sample increased with bonding time, and the EADB sample achieved higher bonding quality than the traditional diffusion bonding (TDB) sample did. The potential mechanism through which electropulsing promoted diffusion bonding was also studied in detail.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Materials Science, Multidisciplinary
Zhifu Zhao, Babak Safaei, Yanfei Wang, Fulei Chu, Yueguang Wei
Summary: This study investigated grain boundary elimination in two special bcc iron bicrystals through molecular dynamics simulations. The results showed that the elimination of grain boundaries enhanced resistance to intergranular fracture and led to directional anisotropy of intergranular crack propagation. The mechanisms of grain boundary elimination were revealed to be twinning and dislocation activities. This research provides valuable insights for grain boundary design.
MATERIALS & DESIGN
(2022)
Article
Nanoscience & Nanotechnology
Megan J. McCarthy, Timothy J. Rupert
Summary: This study investigates the migration behavior of a faceted Sigma 11 boundary in Cu doped with Ag atoms, revealing that solute atoms segregate to a facet with more free volume and greatly reduce boundary velocity in one migration direction. However, a directionally-dependent motion mechanism can escape solute pinning and speed up migration in the other direction, uncovering a new mechanism of chemically-induced anisotropy in grain boundary mobility.
SCRIPTA MATERIALIA
(2021)
Article
Instruments & Instrumentation
Samantha Webster, Marco Giovannini, Yi Shi, Nicolas Martinez-Prieto, Kamel Fezzaa, Tao Sun, Kornel Ehmann, Jian Cao
Summary: Laser metal additive manufacturing is a popular technology due to its versatility in geometry and materials. Powder-blown directed energy deposition (DED) is a widely used additive process in industries such as aerospace, automotive, and medical device. However, there is still a lack of fundamental understanding and opportunities for alloy development and implementation. This study presents a high-throughput, in situ DED system capable of multi-layer builds, investigating the implications of layer heights and energy density and discussing multi-layer interactions.
REVIEW OF SCIENTIFIC INSTRUMENTS
(2022)
Article
Engineering, Industrial
Zilin Jiang, Kornel F. Ehmann, Jian Cao
Summary: This study proposes an artificial neural network (ANN) framework for predicting the forming temperature in electrically-assisted double-sided incremental forming (EA-DSIF). The ANN model uses measurements of surrounding temperature and toolpath features to accurately predict the forming temperature. The model was trained using temperature outputs from finite element models and its feasibility was validated through experiments.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2022)
Article
Engineering, Industrial
Mojtaba Mozaffar, Shuheng Liao, Xiaoyu Xie, Sourav Saha, Chanwook Park, Jian Cao, Wing Kam Liu, Zhengtao Gan
Summary: This study reviews recent advances in Mechanistic-AI in the field of manufacturing, introducing the benefits of this methodology and approaches to improve data requirements, generalizability, and explainability. It also identifies gaps in current research and directions for further development.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2022)
Article
Chemistry, Physical
Lichao Fang, Lin Cheng, Jennifer A. Glerum, Jennifer Bennett, Jian Cao, Gregory J. Wagner
Summary: Accurately predicting the temperature field is crucial in additive manufacturing of metal parts. In this study, a finite element simulation and machine learning methods were used to predict the temperature field during the construction process of Inconel 718 walls, and the relationship between temperature field and material properties was investigated.
NPJ COMPUTATIONAL MATERIALS
(2022)
Article
Chemistry, Physical
Tianju Xue, Zhengtao Gan, Shuheng Liao, Jian Cao
Summary: The phase-field method is a computational approach for simulating interfacial morphology in material additive manufacturing. Traditional direct numerical simulation is time-consuming, but the physics-embedded graph network method provides a faster solution while preserving key physical features.
NPJ COMPUTATIONAL MATERIALS
(2022)
Article
Mathematics, Interdisciplinary Applications
Shuheng Liao, Tianju Xue, Jihoon Jeong, Samantha Webster, Kornel Ehmann, Jian Cao
Summary: Understanding the thermal behavior of additive manufacturing processes is crucial for quality control and process design. This study develops a hybrid physics-based data-driven thermal modeling approach using physics-informed neural networks. The results demonstrate the effectiveness of the model in identifying unknown parameters and accurately capturing the full-field temperature, making it suitable for iterative process design and real-time process control of additive manufacturing.
COMPUTATIONAL MECHANICS
(2023)
Article
Mechanics
Orion L. Kafka, Cheng Yu, Puikei Cheng, Sarah J. Wolff, Jennifer L. Bennett, Edward J. Garboczi, Jian Cao, Xianghui Xiao, Wing Kam Liu
Summary: This study investigates the tensile properties of nickel-based alloy IN718, focusing on the spatial and orientation-based differences. The researchers used in-situ x-ray computed tomography to observe the internal pore populations and measured the evolution of pore shape during deformation. The results were compared to simulations using a computational crystal plasticity scheme, providing insights into the grain orientation in which the pore resides. The measurements show that pores tend to grow and elongate in the direction of loading, consistent with ductile deformation, and do not cause premature failure.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2022)
Article
Engineering, Manufacturing
Mojtaba Mozaffar, Shuheng Liao, Jihoon Jeong, Tianju Xue, Jian Cao
Summary: This paper presents a differentiable simulation method for optimizing the thermal behavior of materials in additive manufacturing processes. By using automatic differentiation to compute gradients, high-dimensional design spaces can be handled. The methodology is validated through experimental testing.
ADDITIVE MANUFACTURING
(2023)
Article
Engineering, Industrial
Shuheng Liao, Jihoon Jeong, Rujing Zha, Tianju Xue, Jian Cao
Summary: A simulation-guided feedforward-feedback control framework is developed for effective control of the melt pool temperature in additive manufacturing processes. The experimental results demonstrate that the feedforward-feedback control method significantly improves control performance compared to conventional feedback control.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Industrial
Fred M. Carter III, Dominik Kozjek, Conor Porter, Samuel J. Clark, Kamel Fezzaa, Makoto Fujishima, Naruhiro Irino, Jian Cao
Summary: A co-axial photodiode monitoring system with high temporal resolution has been integrated into a proven test bench, allowing for synchronized side-view high-speed X-ray imaging for observing melt pool dynamics and top-view spectral emission characterization of the melt pool. The correlation between these two monitoring systems can be directly scaled to commercial systems. The study shows a 92% detection rate of keyhole collapse phenomena related to defect generation in selective laser melting (SLM), as well as investigates the impact of gas flow on monitoring signals to understand its fundamental importance in commercial systems.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Industrial
Guido Tosello, Giuliano Bissacco, Jian Cao, Dragos Axinte
Summary: This paper presents the state-of-the-art in modeling and simulation of surface texture and topography generation at micro and nano scales. It reviews three main manufacturing processes for surface generation and discusses various modeling techniques. The application of these techniques in predicting surface characteristics and geometry are presented, along with a roadmap for a complete surface generation digital twin in manufacturing.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2023)
Article
Mathematics, Interdisciplinary Applications
Shuheng Liao, Ashkan Golgoon, Mojtaba Mozaffar, Jian Cao
Summary: This paper presents a method for rapid thermomechanical simulation of metal additive manufacturing using a fully vectorized implementation on graphical processing units. The method utilizes implicit time discretization and the finite element method, solving the incremental elastoplastic problem using the conjugate gradient method. Sparse representation of algorithmic (tangent) stiffness matrix and the strain-displacement operator are used. The GPU implementation is 10-25x faster than the CPU version, enabling fast prediction of residual stress in additive manufacturing to improve process design effectiveness and avoid process defects.
COMPUTATIONAL MECHANICS
(2023)
Article
Engineering, Industrial
Clayton Cooper, Jianjing Zhang, Joshua Huang, Jennifer Bennett, Jian Cao, Robert X. Gao
Summary: This research explores a data-driven predictive model with Shapley additive explanation (SHAP) to improve the accuracy and interpretability of predicting mechanical properties in directed energy deposition (DED) processes. The results demonstrate that by interpreting input features and reducing model complexity, both the accuracy and effectiveness of predictive models for Inconel 718 (IN718) tensile strength can be improved.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Tianju Xue, Shuheng Liao, Zhengtao Gan, Chanwook Park, Xiaoyu Xie, Wing Kam Liu, Jian Cao
Summary: This paper introduces JAX-FEM, an open-source differentiable finite element method (FEM) library that is implemented with pure Python and scalable for solving moderate to large problems. It achieves significant acceleration compared to commercial FEM codes and enables automatic solving of inverse problems. JAX-FEM also serves as an integrated platform for machine learning-aided computational mechanics.
COMPUTER PHYSICS COMMUNICATIONS
(2023)
Article
Multidisciplinary Sciences
Samantha Webster, Newell Moser, Kamel Fezzaa, Tao Sun, Kornel Ehmann, Edward Garboczi, Jian Cao
Summary: The use of metal additive manufacturing (AM) components is currently limited in industries due to process defects resulting in shorter fatigue life, potential catastrophic failure, and lower strength. Scientists have started analyzing the conditions and mechanisms of these defects to improve reliability and structural integrity of these highly customized parts.
Article
Nanoscience & Nanotechnology
Ahmad Mirzaei, Peter D. Hodgson, Xiang Ma, Vanessa K. Peterson, Ehsan Farabi, Gregory S. Rohrer, Hossein Beladi
Summary: This study investigated the influence of parent austenite grain refinement on the intervariant boundary network in a lath martensitic steel. It found that refining the parent austenite grain led to a decrease in the fraction of certain boundaries in the martensite and an increase in the connectivity of low energy boundaries, ultimately improving the impact toughness.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
N. L. Church, C. E. P. Talbot, L. D. Connor, S. Michalik, N. G. Jones
Summary: Metastable beta Ti alloys based on the Ti-Nb system have attracted attention due to their unique properties. However, the unstable cyclic behavior of these alloys has hindered their widespread industrial use. Recent studies have shown that internal stresses, including those from dislocations, may be responsible for this behavior. This study demonstrates that inter-cycle thermal treatments can mitigate the unstable cyclic behavior, providing a significant breakthrough in our understanding of Ti-Nb superelastic materials.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Di Zhao, Chenchen Zhao, Ziyang Xiu, Jiuchun Yan
Summary: This study proposes a novel strategy for achieving the bonding of SiC ceramic and Al alloy using ultrasound. The ultrasound promotes the dissolution of Al into the solder, activating the solder and triggering the interfacial reaction between SiC ceramic and solder. With increasing ultrasonic duration, the bonding between SiC and Al transitions from partial to full metallurgical bonding.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Kang Du, Yang Zhang, Guangda Zhao, Tao Huang, Liyuan Liu, Junpeng Li, Xiyu Wang, Zhongwu Zhang
Summary: This paper systematically investigated the evolution of microstructure in Fe-Ni-Co-Al polycrystalline alloys and its effects on mechanical properties. The results revealed that the migration of grain boundaries in different processes is driven by different factors, which impacts the grain orientation and precipitate formation. In the process of directional recrystallization, grains with specific orientations grow in the grain boundary region and form the dominant orientation, while grains with lower migration rate form the minor orientation. The alloy produced through directional recrystallization exhibited good recoverable strain and superelastic strain, while the alloy produced through solid solution treatment showed no evident superelastic behavior.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Edohamen Awannegbe, Liang Chen, Yue Zhao, Zhijun Qiu, Huijun Li
Summary: This study employed laser metal deposition to additively manufacture Ti-15Mo wt% alloy, and subsequently subjected it to post-fabrication uniaxial thermomechanical processing. The results showed that different zones in the microstructure remained after processing, and deformation mechanisms mainly involved slip and martensite formation. The compressive mechanical properties were found to be dependent on strain rate, with higher flow stress and compressive strength observed at higher strain rates. Grain structure homogenisation was not achieved, leading to anisotropic tensile properties.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Reza Khatib Zadeh Davani, Enyinnaya George Ohaeri, Sandeep Yadav, Jerzy A. Szpunar, Jing Su, Michael Gaudet, Muhammad Rashid, Muhammad Arafin
Summary: This research aims to investigate the effect of roughing and finishing reductions on crystallographic texture. The results show significant heterogeneity in the centerline region, with higher intensity of certain textures. Drop Weight Tear Test indicates that steel specimens with lower and medium reductions exhibit superior low-temperature impact toughness compared to steel with higher reductions. The electrochemical hydrogen charging experiments confirm the presence of internal hydrogen cracks only in steel with lower and medium reductions.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Flavio De Barbieri, Denis Jorge-Badiola, Rodrigo Allende, Karem Tello, Alfredo Artigas, Franco Perazzo, Henry Jami, Juan Perez Ipina
Summary: This study examines the effect of Cr additions on the mechanical behavior of TWIP steel at temperatures ranging from 25°C to 350°C. The results indicate that different temperature-dependent strengthening mechanisms, including mechanical twinning, Dynamic Strain Aging, and slip bands, are at play. The stacking fault energy (SFE) influences the percentage of mechanical twinning, which in turn affects the strain hardening rate.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Hanlin Peng, Siming Huang, Ling Hu, Bingbing Luo, Liejun Li, Ian Baker
Summary: This study explores the weldability, microstructures, and mechanical properties of two L1(2)-nanoparticle-strengthened medium-entropy alloys after electron beam welding (EBW). The results show that strong yet ductile defect-free joints were produced, with larger grain sizes in the fusion zones compared to the heat-affected zones and base materials. Both EBWed MEAs exhibited high yield strengths, high ultimate tensile strengths, and good fracture strains at 77 K. The V-doping improved the cryogenic mechanical properties of the TMT MEA.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Yongxin Wang, Lei Chen, Lizi Shao, Shuo Hao, Motomichi Koyama, Xingzhou Cai, Xiaocong Ma, Miao Jin
Summary: This study investigated the tensile deformation behavior of an Mn-N bearing lean duplex stainless steel with metastable austenite. The results showed that the strain rate had significant influence on the work hardening, strain-induced martensitic transformation, and fracture mechanism.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Jong Woo Won, Seulbi Lee, Hye-Jeong Choe, Yong-Taek Hyun, Dong Won Lee, Jeong Hun Lee
Summary: Cold-rolled pure titanium showed improved sheet formability after undergoing cryogenic-deformation treatment. This treatment increased the thinning capability of the titanium and suppressed cracking during sheet forming. The formation of twins during deformation contributed to high thinning capability and increased strength through grain refinement and dislocation accumulation.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Handong Li, Lin Su, Lijuan Wang, Yanbin Jiang, Jiahui Long, Gaoyong Lin, Zhu Xiao, Yanlin Jia, Zhou Li
Summary: Homogenization heat treatment is a key procedure in controlling the second phase, enhancing composition uniformity, and workability of as-cast Cu-15Ni-8Sn alloy. This study found that electropulsing treatment (EPT) can significantly reduce treatment temperature and time, improve elongation and overall mechanical properties of the alloy.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Yuxuan Wang, Juntao Zou, Lixing Sun, Yunfei Bai, Zhe Zhang, Junsheng Cheng, Lin Shi, Dazhuo Song, Yihui Jiang, Zhiwei Zhang
Summary: A novel mechanical-heat-electricity synergistic method was proposed to enhance the mechanical properties of Cu-15Sn-0.3Ti alloy by forming annealing twins (ATs). The combination method of Rotary swaging (RS) and Electric pulse treatment (EPT) successfully induced recrystallization and refinement of the microstructure, leading to a significant increase in the strength of the alloy within a short time.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Zhiyi Ding, Jiangtao Xie, Tong Wang, Aiying Chen, Bin Gan, Jinchao Song
Summary: This study demonstrated the Ta-induced strengthening of CoCrNi-AlTi MEAs using nanoscale heterogeneous coherent precipitates. The addition of Ta and aging treatments significantly enhanced the mechanical properties of the alloy, including yield strength, ultimate tensile strength, and elongation.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Z. Y. You, Z. Y. Tang, B. Wang, H. W. Zhang, P. Li, L. Zhao, F. B. Chu, H. Ding
Summary: The mechanical properties and microstructural evolution of C-doped TRIP-assisted HEA under dynamic loading conditions were systematically investigated in this study. The results showed that dynamic tensile deformation led to an increase in yield strength and a decrease in ultimate tensile strength, with a trend towards increased total elongation. The primary deformation mechanisms shifted from TRIP and TWIP effects to deformation twinning and dislocations. The presence of carbides formed through C-doping hindered dislocation slip and promoted the activation of multiple twinning systems.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Feng Qin, Feihu Chen, Junhua Hou, Wenjun Lu, Shaohua Chen, Jianjun Li
Summary: Plastic instability in strong multilayered composites is completely suppressed by architecting nanoscale BCC Nb crystalline-amorphous CuNb interfaces.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
